Dataset for Replication and Data Sharing
Journal of Human Resources (JHR)
1. Overview
This dataset contains the cleaned and final analysis data used in the empirical analysis of the study submitted to the Journal of Human Resources. The data are provided to ensure transparency and full reproducibility of the reported results.
2. Data Description
The dataset is an individual-level dataset focusing on early-life environments, primary caregiver characteristics, and child development outcomes. It includes both baseline and follow-up measures, as well as a set of constructed indices used in the empirical analysis.
The dataset provided in this repository is the final analysis dataset used to generate all main empirical tables reported in the paper.
Analyses related to cost-benefit calculations and selected appendix tables are based on external data and non-Stata computations, and are therefore not included in this dataset.
3. Files in This Repository
temp_a_clean.dta
The cleaned dataset used for the final analysis.
analysis.do
Stata do-file used to generate all empirical results.
4. Unit of Observation
The unit of observation is the individual child.
5. Key Variable Groups
Baseline characteristics (e.g., gender, age, birth conditions)
Child development outcomes (e.g., Bayley and WPPSI measures)
Parental characteristics and mental health measures
Parenting practices and household investment measures
Control variables used in regression analysis
6. Missing Values and Coding
Missing values follow Stata’s standard missing value conventions
Binary indicators are coded as 0/1
Continuous variables are measured in their natural units or as standardized indices, as documented in the do-file
7. Replication Instructions
All results reported in the paper can be replicated using the provided dataset and Stata do-file.
To replicate the results:
（1）Place temp_a_clean.dta and analysis.do in the same working directory.
（2）Open Stata (version 17 or later recommended).
（3）Set the working directory to the folder containing the files.
（4）Open analysis.do.
（5）Modify the file paths as needed to match your local directory structure.
（6）Run the do-file.
The do-file loads the dataset, constructs variables, and produces all regression results used in the paper.
8. Software Requirements
Stata (version 17 or later)
9. License
This dataset is made publicly available under the CC0 1.0 Universal Public Domain Dedication. To the extent permitted by law, the authors waive all rights to the data.
10. Recommended Citation
Author(s). Year. “Dataset for [Paper Title].” Dataverse. CC0 1.0.